Abstract
Background:
We aimed to assess the effect of sulforaphane (SFN) on breast cancer cell migration and also its effect on the expression of epithelial mesenchymal transition (EMT) markers and β-catenin.
Methods:
This study was performed in Shahroud University of Medical Sciences, Shahroud, Iran from 2017–2018. In this experimental study, MDA-MB-231 cells were treated with different concentrations of SFN (5, 10, 20, 30 and 40 μM) at different time points of 24, 48, and 72 h. The control group was untreated cells. The inhibitory effects of different concentrations of SFN on cell migration at different time points were evaluated using scratch assay. Moreover, apoptosis was assessed by using flow cytometric analysis. The expression of β-catenin and EMT markers of ZEB1, fibronectin, and claudin-1 were determined by real-time PCR. Western blotting analysis of β-catenin was applied to determine its changes after SFN treatment.
Results:
SFN markedly inhibited the migration of cells at concentrations of 10, 20, 30, and 40μM after 24, 48, and 72 h. At relatively, high concentrations (30, 40μM), SFN induced apoptosis. Moreover, SFN reduced the gene expression of ZEB1, fibronectin, and claudin-1 after 72 h. The expression of β-catenin revealed a time-dependent decrease at the concentration of 40 μM SFN.
Conclusion:
Downregulation of EMT markers and β-catenin showed accordance with the inhibition of migration. SFN could be a promising drug candidate to reduce metastasis in breast cancer.
Keywords: Sulforaphane, Metastasis, Breast cancer, EMT, β-catenin
Introduction
Breast cancer is the most common cancer in women and the leading cause of cancer-related death among females worldwide. In fact, the cause of death in many patients with breast cancer is tumor spreading to other parts of body. Currently, there is not a cure for metastatic breast cancer and patients live approximately five years after initial diagnosis (1).
Metastasis is an enormously complex biological process involving different genes and biomolecules. More recently, epithelial-mesenchymal transition (EMT) has been shown to be one of the key regulators of cancer metastasis. EMT is a physiological process by which epithelial cells lose their adherent junctions and apical-basal cell polarity to form spindle-shaped cells that contribute to their ability to migrate as single cells. Loss of epithelial markers such as E-cadherin and acquisition of mesenchymal markers like fibronectin is a fundamental event in EMT. This switch in cell structure and behavior is mediated by key transcription repressors such as zinc finger proteins of ZEB family (2). Additionally, dysregulation of claudin-1 both increase and decrease in expression has been reported in several cancers (3). Moreover, upregulation of Wnt/β-catenin pathway has been demonstrated to play an important role in the transcription of EMT-promoting genes followed by cancer metastasis (4).
In recent years, much attention has been directed towards therapeutic strategies based on targeting β-catenin and EMT markers as the key players in cancer metastasis. There is a constant demand to develop less toxic, more efficacious, and affordable anticancer drugs with reduced side effects. In recent years, cancer prevention by natural products has received considerable attention(5). Among various natural products, sulforaphane (SFN), a chemopreventive is thiocyanate derived from broccoli, showed cancer inhibitory properties. SFN has been shown to inhibit cell cycle progression, induce apoptotic cell death, and inhibit angiogenesis in a variety of cancer cell types (6, 7).
Considering the promising anticancer properties of SFN, the aim of this study was to evaluate the effects of various concentrations of SFN on cell migration in MDA-MB-231 human metastatic breast cancer cells at different time points of 24, 48, and 72 h. Moreover, the expression of certain key elements of EMT, including ZEB1, fibronectin, and claudin-1 in breast cancer cells were examined in vitro after treatment with SFN. Furthermore, as upregulation of the Wnt/β-catenin signaling pathway has also been shown to lead to tumor metastasis, our present study was designed to determine the expression level ofβ-catenin in MDA-MB-231 breast cancer cells in response to SFN.
Materials and Methods
Cell culture
In this in vitro experimental study, human breast cancer cell line (MDA-MB-231), was obtained from the Pasteur Institute, National Cell Bank of Iran. The study was performed in Shahroud University of Medical Sciences, Shahroud, Iran from 2017–2018. The SFN was purchased from Sigma Company. Cells were cultured in Dulbecco modified Eagle’s medium (DMEM), supplemented with 10% fetal calf serum (FCS), and antibiotics (Penicillin 100 IU/ml, Streptomycin 100 μg/ml). Cells were incubated at 37 °C in a humidified atmosphere composed of 95% air and 5% CO2.
Apoptosis assay
MDA-MB-231 cells were plated at a density of 2×105 cells/well in six-well plates. Cells were treated with different concentrations of SFN (5, 10, 20, 30 and 40 μM). Untreated cells were considered as control group. After time points of 24, 48, and 72 h, the cells were trypsinized and washed with PBS. Annexin-V-FITC/PI labeling was performed according to the manufacturers’ instructions. Quantification of Annexin-V/propidium iodide incorporation was performed using a FACScalibur flow cytometer (BD Biosciences, San Jose, CA, USA). Acquired data were analyzed using the Win-MDI software.
The cell scratch assay
The effect of SFN treatment on cell migration was determined using scratch assay as described previously (8). Briefly, a fine scratch was made on the surface of monolayer culture when the cells were approximately 80% confluent. A cell-free area of approximate 1 mm in extent was generated. Micrograph images from scratch zone were taken at time=0. Then cells were treated with 5, 10, 20, 30, and 40μM of SFN. Untreated cells were considered as control group. The choice of these doses was based on the previous study (9). The other micrographs were taken from the same region, after 24, 48 and, 72 h. The gap width of scratch was compared with the gap size at 0 h and analyzed by Image J software.
RNA extraction and Real-time PCR
By using TriPure isolation reagent (Roche, Germany) based on the manufacturer’s instructions, total RNA was extracted from cells. The extracted RNAs were treated with DNase I enzyme to eliminate probable contamination with genomic DNA. Reverse transcription and real-time PCR were performed following the manufacturer’s instructions using SYBR Green Master Mix (Parstoos, Iran). Primers used in this study are shown in Table 1. The conditions for all reactions were as follows: denaturation at 95 °C for 10 min and 40 cycles of 95 °C for 15 sec, 60 °C for 30 sec, and 72 °C for 30 sec (10, 11).
Table 1:
Primers | Sequence | Product size |
---|---|---|
ZEB1 | F: TGCACTGAGTGTGGAAAAGC R: TGGTGATGCTGAAAGAGACG |
237 bp |
Fibronectin | F: TCCTTGCTGGTATCATGGCAG R: AGACCCAGGCTTCTCATACTTGA |
74 bp |
Claudin-1 | F: ACTCCTTGCTGAATCTGAACAGT R: GGACACAAAGATTGCGATCAG |
97 bp |
GAPDH | F: AAGGTGAAGGTCGGAGTCAAC R: GGGGTCATTGATGGCAACAATA |
102 bp |
Western blotting analysis
The pellets of control and treated cells after the proposed time points of 24, 48, and 72 h were suspended in lysis buffer (BioBasic, PH= 8), supplemented with protease inhibitor cocktail (Sigma-Aldrich). Forty micrograms of proteins were denatured using Laemmli’s sample Buffer and boiled at 95 °C for 5 min. Proteins were separated by SDS-polyacrylamide gel electrophoresis and transferred onto PVDF membranes (Amersham). The membranes were placed in a blocking buffer for 60 min at RT and subsequently incubated with anti-β-catenin primary antibody (1:1000; Cell Signaling) overnight, at 4 °C. The following day, the membranes were washed and incubated with a peroxidase conjugate secondary antibody (1:5000; Cell Signaling) for 60 min, at RT. Then membranes were washed and incubated with the Bio-Rad Clarity™ western ECL substrate and finally exposed to X-ray film from FUJIFILM Corporation. Band intensity was calculated using Image J software.
Statistical analysis
The statistical analyses were performed using GraphPad Prism version 6.0 software. One way ANOVA with Dunnett's multiple comparison test was used to assess differences between various groups. Data are presented as mean ± standard deviation (SD).
Results
SFN inhibited the migration of breast cancer cells
To investigate the effect of SFN on cell metastatic potential, the migration capacity was detected using scratch assay. SFN suppressed migration of cells to the denuded zone at concentrations of 10, 20, 30, and 40 μM (Fig. 1 A, B). These findings provide evidence for the role of the SFN as a suppressor of breast cancer cell migration.
SFN induced cell apoptosis in MDA-MB-231 Cells
The ability of SFN to induce apoptosis was assessed by flow cytometry analysis. MDA-MB-231 cells were treated with different concentrations of SFN (0, 5, 10, 20, 30 and 40 μM) for 24, 48 and 72 h. As shown in Fig. 2, compared with untreated cells, SFN increased the percentage of the early/late apoptotic and necrotic cells significantly, at the maximum doses of 30 and 40 μM.
SFN decreased expression of genes involved in EMT
We performed quantitative RT-PCR to examine the effect of SFN on expression levels of specific genes involved in EMT such as ZEB1, fibronectin and claudin-1. In the present study, MDA-MB-231 cells were treated with different concentrations of SFN (0, 5, 10, 20, 30 and 40μM). Total RNAs were collected at 24, 48 and 72 h. We found that SFN significantly downregulated the expression of ZEB1 at 40μM after 72 h compared with the control group. SFN also decreased the expression of fibronection at 20, 30, and 40 μM after 72 h. Decreased expression of claudin-1 was observed at 30 and 40μM after 72 h (Fig. 3).
SFN inhibited β-catenin expression in MDA-MB-231 cells
To further investigate the possible mechanisms by which SFN exerts its anti-migratory effect, we evaluated whether the expression of β-catenin is associated with SFN treatment. Immunoblot analysis was employed to examine the expression of β-catenin. As shown in Fig. 4, there was a time-dependent decrease at the concentration of 40 μ MSFN. There were no changes in the expression of β-catenin protein in MDA-MB-231 cells with lower doses of SFN (data not shown).
Discussion
The present study illustrates that SFN exposure induces apoptosis at 30–40μMand also inhibits the migratory capabilities of MDA-MB-231 cells at 10–40μM. These results raise the possibility that SFN may be a promising candidate to prevent breast cancer progression and metastasis. It was revealed that the anti-cancer activity of SFN is modulated by a variety of cell-signaling pathways including NF-κB signaling (12), Keap1– Nrf2 signaling (13), and ROS-dependent pathway (14). Further studies are needed to investigate the underlying molecular mechanisms of SFN effects to provide a rational basis for its clinical application in the future.
EMT is a crucial step for tumor cell migration and invasion in various types of human cancers. Overexpression of ZEB1, as a transcription factor, is critical for induction of EMT(15, 16). The results of our study revealed that SFN decreased cell migration at concentrations of 10–40μMSFN; however, reduced expression of ZEB1was observed just at 40μM of SFN. It can be assumed that ZEB1 is not involved in mediating the anti-metastatic effect of SFN at lower concentrations in MDA-MB-231 cells. Recently, expression of ZEB1 activates signaling pathways leading to enhanced cell proliferation, and tumor growth (17). Based on the present study, SFN at high concentration may at least partly exerts its proapoptotic and antimigratory effects by targeting the expression of ZEB1 in MDA-MB-231 cells.
Fibronectin is another established EMT marker, which appears to be involved in extracellular matrix (ECM) remodeling during EMT. It is upregulated during development and has been linked to the growth, survival and metastasis in variety of cancers including breast (18), prostate (19) and colon (20) cancers. In accordance with previous studies, we find that decreased expression of fibronectin coincides with decreased cell migration in response to SFN treatment (10–40μM). Considering the important role of fibronectin in cancer metastasis, it is possible that SFN exerts its anti migratory effects by decreasing the expression of fibronectin. A more detailed study is required to clarify the exact role of fibronectin in this effect.
Moreover, claudins, the integral membrane proteins which form the backbone of tight junctions, are aberrantly expressed in diverse types of human cancers (21). Claudin-1, the first claudin family member identified, is downregulated in hepatocellular carcinoma (22), breast cancer (23) and lung adenocarcinomas (24). Conversely, overexpression of claudin-1 increases cell invasion in oral squamous cell carcinoma (25), melanoma (26), colon (27), and colorectal cancers (28). Further support for such speculations comes from studies that showed increased expression of claudin-1 induced expression of the EMT-regulating transcription factors such as ZEB1 in hepatocellular carcinomas, and claudin-1 can be exploited as a biomarker for liver cancer metastasis (29). Collectively, claudin-1 can both promote or suppress tumorigenesis, depending on the cancer type.MDA-MB-231, the cell line used in this study, is a basal B/triple-negative breast cancer (TNBC) cell line (30, 31). The knockdown of claudin-1 in a basal-like subtype human breast cancer cell line resulted in reduced cancer cell migration (32). Furthermore, down-regulation of claudin-1 induced apoptosis in different breast cancer cells including MDA-MB-231(33). In accordance with these studies, results presented here indicated that decreased migration and increased apoptosis in MDA-MB-231 cells in response to SFN (30–40μM) coincided with reduced expression of claudin-1. Apoptotic and anti-metastatic effects of SFN at 30–40μMcan be at least partly mediated by decreased expression of claudin-1. Although cell migration decreased at concentrations less than 30 μM of SFN; however, it did not change the expression of claudin-1. Claudin-1 is not involved in antimigratory effect of SFN at low concentrations.
Additionally, several pieces of evidence suggest that Wnt/β-catenin signaling pathway plays critical role in tumor progression (34). In the absence of Wnt stimulation, cytosolic β-catenin is sequentially phosphorylated and degraded by glycogen synthase kinase 3β (GSK3-β) within a protein complex (35). Wnt stimulation is suggested to inhibit β-catenin phosphorylation, thus inducing the accumulation of cytosolic β-catenin. Next, the stabilized β-catenin is translocated into the nucleus, in which it activates the expression of a range of genes related to cancer progression and metastasis (36). Aberrant activation of Wnt/β-catenin pathway occurs in several tumor types, including colorectal and breast cancers (37, 38). ”Recently, there is considerable interest in developing Wnt/β-catenin pathway inhibitors as anti-cancer therapeutics (39)”. In the current study, the effect of SFN on β-catenin, as the key mediator of the Wnt pathway in human breast cancer cells was examined. The results of our survey showed that SFN at 40μMsuppressed the expression of β-catenin in a time-dependent manner in breast cancer MDA-MB-231 cells. No change in the expression of β-catenin was observed at lower concentrations of SFN. Apoptotic and anti-metastatic effects of SFN at high concentration might be at least partly mediated through its effect on the expression of β-catenin. A casual mechanism of this association should be unraveled by more detailed study.
Conclusion
SFN decreases migration of breast cancer cells and it can be considered as a promising candidate for treatment of metastatic breast cancer. Furthermore, anti-migratory effects of SFN at low concentrations may be mediated in part by decreased expression of fibronectin, not ZEB1, claudin-1 and β-catenin. Further attempts have to be made to understand more about the mechanisms involved in anti-metastatic effects of SFN on breast cancer cells.
Ethical considerations
Ethical issues (Including plagiarism, Informed Consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc.) have been completely observed by the authors.
Acknowledgements
The authors acknowledge the financial support provided by Cancer Prevention Research Center, Shahroud University, project No 94109.
Footnotes
Conflict of interest
The authors declare that there is no conflict of interest.
References
- 1.Tevaarwerk AJ, Gray RJ, Schneider BP, et al. (2013). Survival in patients with metastatic recurrent breast cancer after adjuvant chemotherapy: little evidence of improvement over the past 30 years. Cancer,119:1140–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Lamouille S, Xu J, Derynck R. (2014). Molecular mechanisms of epithelial-mesenchymal transition. Nat Rev Mol Cell Biol,15:178–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Zhou B, Moodie A, Blanchard AA, et al. (2015). Claudin 1 in Breast Cancer: New Insights. J Clin Med,4:1960–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ghahhari NM, Babashah S. (2015). Interplay between microRNAs and WNT/β-catenin signalling pathway regulates epithelial– mesenchymal transition in cancer. Eur J Cancer,51:1638–49. [DOI] [PubMed] [Google Scholar]
- 5.Ahmadiankia N, Moghaddam HK, Mishan MA, et al. (2016). Berberine suppresses migration of MCF-7 breast cancer cells through down-regulation of chemokine receptors. Iran J Basic Med Sci,19:125–31. [PMC free article] [PubMed] [Google Scholar]
- 6.Hecht SS. (2000). Inhibition of carcinogenesis by isothiocyanates. Drug Metab Rev,32:395–411. [DOI] [PubMed] [Google Scholar]
- 7.Qazi A, Pal J, Maitah M, et al. (2010). Anticancer activity of a broccoli derivative, sulforaphane, in barrett adenocarcinoma: potential use in chemoprevention and as adjuvant in chemotherapy. Transl Oncol,3:389–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Mishan MA, Ahmadiankia N, Matin MM, et al. (2015). Role of Berberine on molecular markers involved in migration of esophageal cancer cells. Cell Mol Biol (Noisy-le-grand),61:37–43. [PubMed] [Google Scholar]
- 9.Pawlik A, Wiczk A, Kaczynska A, et al. (2013). Sulforaphane inhibits growth of phenotypically different breast cancer cells. Eur J Nutr,52:1949–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Mishan MA, Heirani-Tabasi A, Mokhberian N, et al. (2015). Analysis of Chemokine Receptor Gene Expression in Esophageal Cancer Cells Compared with Breast Cancer with Insights into Metastasis. Iran J Public Health,44:1353–8. [PMC free article] [PubMed] [Google Scholar]
- 11.Bagheri M, Fazli M, Saeednia S, et al. (2018). Pomegranate peel extract inhibits expression of β-catenin, epithelial mesenchymal transition, and metastasis in triple negative breast cancer cells. Cell Mol Biol (Noisy-le-grand),64:86–91. [PubMed] [Google Scholar]
- 12.Li W, Khor TO, Xu C, et al. (2008). Activation of Nrf2-antioxidant signaling attenuates NFκB-inflammatory response and elicits apoptosis. Biochem Pharmacol,76:1485–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kensler TW, Egner PA, Agyeman AS, et al. (2013). Keap1-nrf2 signaling: a target for cancer prevention by sulforaphane. Top Curr Chem,329:163–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wang L, Tian Z, Yang Q, et al. (2015). Sulforaphane inhibits thyroid cancer cell growth and invasiveness through the reactive oxygen species-dependent pathway. Oncotarget,6:25917–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Spaderna S, Schmalhofer O, Wahlbuhl M, et al. (2008). The transcriptional repressor ZEB1 promotes metastasis and loss of cell polarity in cancer. Cancer Res,68:537–44. [DOI] [PubMed] [Google Scholar]
- 16.Thomson S, Buck E, Petti F, et al. (2005). Epithelial to mesenchymal transition is a determinant of sensitivity of non–small-cell lung carcinoma cell lines and xenografts to epidermal growth factor receptor inhibition. Cancer Res,65:9455–62. [DOI] [PubMed] [Google Scholar]
- 17.Sanchez-Tillo E, Fanlo L, Siles L, et al. (2014). The EMT activator ZEB1 promotes tumor growth and determines differential response to chemotherapy in mantle cell lymphoma. Cell Death Differ,21:247–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Fernandez-Garcia B, Eiro N, Marin L, et al. (2014). Expression and prognostic significance of fibronectin and matrix metalloproteases in breast cancer metastasis. Histopathology,64:512–22. [DOI] [PubMed] [Google Scholar]
- 19.Konac E, Kiliccioglu I, Sogutdelen E, et al. (2017). Do the expressions of epithelial-mesenchymal transition proteins, periostin, integrin-alpha4 and fibronectin correlate with clinicopathological features and prognosis of metastatic castration-resistant prostate cancer? Exp Biol Med (Maywood),242:1795–801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Yi W, Xiao E, Ding R, et al. (2016). High expression of fibronectin is associated with poor prognosis, cell proliferation and malignancy via the NF-kappaB/p53-apoptosis signaling pathway in colorectal cancer. Oncol Rep,36:3145–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Escudero-Esparza A, Jiang WG, Martin TA. (2011). The Claudin family and its role in cancer and metastasis. Front Biosci (Landmark Ed),16:1069–83. [DOI] [PubMed] [Google Scholar]
- 22.Higashi Y, Suzuki S, Sakaguchi T, et al. (2007). Loss of claudin-1 expression correlates with malignancy of hepatocellular carcinoma. J Surg Res,139:68–76. [DOI] [PubMed] [Google Scholar]
- 23.Morohashi S, Kusumi T, Sato F, et al. (2007). Decreased expression of claudin-1 correlates with recurrence status in breast cancer. Int J Mol Med,20:139–43. [PubMed] [Google Scholar]
- 24.Chao YC, Pan SH, Yang SC, et al. (2009). Claudin-1 is a metastasis suppressor and correlates with clinical outcome in lung adenocarcinoma. Am J Respir Crit Care Med,179:123–33. [DOI] [PubMed] [Google Scholar]
- 25.Oku N, Sasabe E, Ueta E, et al. (2006). Tight junction protein claudin-1 enhances the invasive activity of oral squamous cell carcinoma cells by promoting cleavage of laminin-5 gamma2 chain via matrix metalloproteinase (MMP)-2 and membrane-type MMP-1. Cancer Res,66:5251–7. [DOI] [PubMed] [Google Scholar]
- 26.Leotlela PD, Wade MS, Duray PH, et al. (2007). Claudin-1 overexpression in melanoma is regulated by PKC and contributes to melanoma cell motility. Oncogene,26:3846–56. [DOI] [PubMed] [Google Scholar]
- 27.Dhawan P, Singh AB, Deane NG, et al. (2005). Claudin-1 regulates cellular transformation and metastatic behavior in colon cancer. J Clin Invest,115:1765–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Kinugasa T, Huo Q, Higashi D, et al. (2007). Selective up-regulation of claudin-1 and claudin-2 in colorectal cancer. Anticancer Res,27:3729–34. [PubMed] [Google Scholar]
- 29.Suh Y, Yoon CH, Kim Rk, et al. (2013 ). Claudin-1 induces epithelial-mesenchymal transition through activation of the c-Abl-ERK signaling pathway in human liver cells. Oncogene, 32:4873–82. [DOI] [PubMed] [Google Scholar]
- 30.Chavez KJ, Garimella SV, Lipkowitz S. (2010). Triple negative breast cancer cell lines: one tool in the search for better treatment of triple negative breast cancer. Breast Dis,32:35–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kao J, Salari K, Bocanegra M, et al. (2009). Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery. PLoS One,4:e6146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Blanchard AA, Ma X, Dueck KJ, et al. (2013). Claudin 1 expression in basal-like breast cancer is related to patient age. BMC Cancer,13:268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Achari C, Winslow S, Larsson C. (2015). Down Regulation of CLDND1 Induces Apoptosis in Breast Cancer Cells. PLoS One 10:e0130300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Cai J, Guan H, Fang L, et al. (2013). MicroRNA-374a activates Wnt/beta-catenin signaling to promote breast cancer metastasis. J Clin Invest,123:566–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Orford K, Crockett C, Jensen JP, et al. (1997). Serine phosphorylation-regulated ubiquitination and degradation of β-catenin. J Biol Chem, 272:24735–8. [DOI] [PubMed] [Google Scholar]
- 36.Valenta T, Hausmann G, Basler K. (2012). The many faces and functions of beta-catenin. Embo j,31:2714–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Nusse R, Clevers H. (2017). Wnt/beta-Catenin Signaling, Disease, and Emerging Therapeutic Modalities. Cell,169:985–99. [DOI] [PubMed] [Google Scholar]
- 38.Prosperi JR, Goss KH. (2010). A Wnt-ow of opportunity: targeting the Wnt/beta-catenin pathway in breast cancer. Curr Drug Targets,11:1074–88. [DOI] [PubMed] [Google Scholar]
- 39.Takahashi-Yanaga F, Kahn M. (2010). Targeting Wnt signaling: can we safely eradicate cancer stem cells? Clin Cancer Res,16:3153–62. [DOI] [PubMed] [Google Scholar]